Abstract: A method and a system for clustering executable files are provided. The method comprises: obtaining a plurality of executable files; for each executable file: (i) detecting repeat sequences of commands of a predetermined length in a given executable file; (ii) determining at least one frequently occurring sequence of the repeat sequences in the given executable file; and based on the at least one frequently occurring sequence of commands, attributing the given executable file to a respective family; iteratively executing the detecting, the determining, and the attributing until one of: all of the plurality of executable files are attributed to at least one respective family, and until un-attributed files of the plurality of executable files do not contain any repeat sequences of commands; and responsive to presence of un-attributed files, attributing each of the un-attributed files of the plurality of executable files to a separate family.

Abstract: A method and a system for identifying indicators of compromise are provided. The method comprises: obtaining a given malware carrier configured for execution a main malware module; generating, based on the given malware carrier, an attack roadmap, the attack roadmap including a plurality of malware carriers; determining a malware class of each one of the plurality of malware carriers; generating a current list of indicators of compromise of each of the plurality of malware carriers; searching a database to locate at least one stored attack roadmap including a plurality of stored malware carriers; retrieving from the database a stored list of indicators of compromise for each of the plurality of stored malware carriers; generating an amalgamated list of indicators of compromise based on the current list of indicators and the stored digital list of indicators of compromise; storing, in the database, the amalgamated list of indicators of compromise.

Abstract: Methods and systems for determining an affiliation of a given software with target software are provided. The method comprises: receiving a software source code of the given software; executing the software source code in an isolated program environment to identify at least one outgoing request of the given software, the at least one outgoing request being indicative of at least one respective function of the software source code; generating, based on the at least one outgoing request, a respective function identifier associated with the at least one respective function; applying at least one classifier to the respective function identifier to determine a likelihood parameter indicative of the given software being affiliated to a respective target software; in response to the likelihood parameter being equal to or greater than a predetermined likelihood parameter threshold: identifying the given software as being affiliated to the respective target software.

Abstract: A method and a system for clustering executable files are provided. The method comprises: obtaining a plurality of executable files; for each executable file: (i) detecting repeat sequences of commands of a predetermined length in a given executable file; (ii) determining at least one frequently occurring sequence of the repeat sequences in the given executable file; and based on the at least one frequently occurring sequence of commands, attributing the given executable file to a respective family; iteratively executing the detecting, the determining, and the attributing until one of: all of the plurality of executable files are attributed to at least one respective family, and until un-attributed files of the plurality of executable files do not contain any repeat sequences of commands; and responsive to presence of un-attributed files, attributing each of the un-attributed files of the plurality of executable files to a separate family.

Abstract: A method and a system for determining an affiliation of a given software with target software are provided. The method comprises: receiving a file including a machine code associated with the given software; determining a file format; identifying, based on the file format, in the machine code, at least one function of a plurality of functions; generating, for each one of the plurality of functions associated with the given software, a respective function identifier; aggregating respective function identifiers, thereby generating an aggregated array of function identifiers associated with the given software; applying at least one classifier to the aggregated array of function identifiers to determine a likelihood parameter indicative of the given software being affiliated to a respective target software; in response to the likelihood parameter being equal to or greater than a predetermined likelihood parameter threshold: identifying the given software as being affiliated to the respective target software.

Abstract: A method and a system for identifying indicators of compromise are provided. The method comprises: obtaining a given malware carrier configured for execution a main malware module; generating, based on the given malware carrier, an attack roadmap, the attack roadmap including a plurality of malware carriers; determining a malware class of each one of the plurality of malware carriers; generating a current list of indicators of compromise of each of the plurality of malware carriers; searching a database to locate at least one stored attack roadmap including a plurality of stored malware carriers; retrieving from the database a stored list of indicators of compromise for each of the plurality of stored malware carriers; generating an amalgamated list of indicators of compromise based on the current list of indicators and the stored digital list of indicators of compromise; storing, in the database, the amalgamated list of indicators of compromise.

Abstract: A method and a system for determining an affiliation of a given software with target software are provided. The method comprises: receiving a file including a machine code associated with the given software; determining a file format; identifying, based on the file format, in the machine code, at least one function of a plurality of functions; generating, for each one of the plurality of functions associated with the given software, a respective function identifier; aggregating respective function identifiers, thereby generating an aggregated array of function identifiers associated with the given software; applying at least one classifier to the aggregated array of function identifiers to determine a likelihood parameter indicative of the given software being affiliated to a respective target software; in response to the likelihood parameter being equal to or greater than a predetermined likelihood parameter threshold: identifying the given software as being affiliated to the respective target software.

Abstract: Methods and systems for determining an affiliation of a given software with target software are provided. The method comprises: receiving a software source code of the given software; executing the software source code in an isolated program environment to identify at least one outgoing request of the given software, the at least one outgoing request being indicative of at least one respective function of the software source code; generating, based on the at least one outgoing request, a respective function identifier associated with the at least one respective function; applying at least one classifier to the respective function identifier to determine a likelihood parameter indicative of the given software being affiliated to a respective target software; in response to the likelihood parameter being equal to or greater than a predetermined likelihood parameter threshold: identifying the given software as being affiliated to the respective target software.